| Title |
Common and uncommon intracranial arterial anatomic variations in multi-detector computed tomography angiography (MDCTA). What radiologists should be aware of
|
|---|---|
| Published in |
Insights into Imaging, February 2015
|
| DOI | 10.1007/s13244-014-0381-x |
| Pubmed ID | |
| Authors |
Petros Zampakis, Vasilios Panagiotopoulos, Theodore Petsas, Christina Kalogeropoulou |
| Abstract |
The aim of this retrospective study was twofold: (1) to show the role of multi-detector computed tomography angiography (MDCTA) in the evaluation of intracranial arterial anatomic variations; (2) to highlight their clinical importance with illustrated example cases. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Cyprus | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Postgraduate | 5 | 15% |
| Other | 5 | 15% |
| Student > Master | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 11 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 50% |
| Neuroscience | 4 | 12% |
| Computer Science | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Unknown | 11 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 May 2018.
All research outputs
#15,270,937
of 24,217,893 outputs
Outputs from Insights into Imaging
#636
of 1,072 outputs
Outputs of similar age
#200,906
of 367,699 outputs
Outputs of similar age from Insights into Imaging
#9
of 14 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,072 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 367,699 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.